Triple

T3959444
Position Surface form Disambiguated ID Type / Status
Subject .na E85864 entity
Predicate sponsoredBy P67 FINISHED
Object NaNIC
NaNIC is an organization or initiative that sponsors the .na country-code top-level domain for Namibia.
 E402129 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: NaNIC | Statement: [.na, sponsoredBy, NaNIC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NaNIC
Context triple: [.na, sponsoredBy, NaNIC]
  • A. NIA
    NIA is India’s premier federal counter-terrorism and national security investigation agency.
  • B. NIA
    NIA is a U.S. federal research institute within the National Institutes of Health that focuses on understanding aging and age-related diseases, including Alzheimer’s disease.
  • C. Nicado
    Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
  • D. Naristi
    The Naristi were an ancient Germanic tribe known primarily from Roman sources as neighbors of the Marcomanni in Central Europe.
  • E. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NaNIC
Triple: [.na, sponsoredBy, NaNIC]
Generated description
NaNIC is an organization or initiative that sponsors the .na country-code top-level domain for Namibia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NaNIC
Target entity description: NaNIC is an organization or initiative that sponsors the .na country-code top-level domain for Namibia.
  • A. NIA
    NIA is India’s premier federal counter-terrorism and national security investigation agency.
  • B. NIA
    NIA is a U.S. federal research institute within the National Institutes of Health that focuses on understanding aging and age-related diseases, including Alzheimer’s disease.
  • C. Nicado
    Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
  • D. Naristi
    The Naristi were an ancient Germanic tribe known primarily from Roman sources as neighbors of the Marcomanni in Central Europe.
  • E. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef95ef8988190ba504cdfc217c4fa completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533b57ad08190972d385a133c73b8 completed March 14, 2026, 10:08 a.m.
NEDg Description generation batch_69b534b3596c819088812b5835512c05 completed March 14, 2026, 10:13 a.m.
NED2 Entity disambiguation (via description) batch_69b5354ce29481909af8f0a216c3e643 completed March 14, 2026, 10:15 a.m.
Created at: March 9, 2026, 3:31 p.m.